Sr. Embedded & Compute Software Developer
职位标题:高级嵌入式和计算软件开发人员位置:远程 美国补偿:130万美元 - 160,000美元 +奖金资格 我们是谁:林克斯提供模块化,开放标准基于的软件,改变了高可靠性,任务关键边缘系统的构建,部署和维护方式。我们的安全边缘计算解决方案使得全球最具需求环境中创新和运营卓越,从航空航天和国防到商业和工业系统。我们在汽车,医疗和关键基础设施等行业合作,以满足每个客户的使命和运营要求的定制解决方案。我们的关键产品和服务是:· MOSA.ic: LYNX MOSA.ICTM 是一个为任务关键边缘计算而设计的模块化软件框架和架构。基于模块化开放系统方法 (MOSA),它提供了建立安全,可扩展和可认证边缘系统的灵活基础。· LYNX MoSA.ic.AI: LYNx MOSA.ics.AI 是一款统一的 CPU 和 GPU 软件平台,可以在任务关键端系统中确定性,可认证地部署人工智能和先进的工作负载。它将控制,性能和生命周期治理结合在一起,使人工智能能够在安全关键环境中进行预测性操作,而不损害认证或系统完整性。· 核心套件2.0:CoreSuite 2.0是 Lynx 的安全关键 GPU 用于任务关键边缘计算系统设计的图形启用框架。它提供硬件加速图像,可视化和视频处理功能,可以为高质量系统进行认证。·服务:Lynx 服务是 Lynx 的专业服务组织,帮助客户设计,集成,认证,部署和维护安全和安全关键系统。它通过咨询,工程,集成和生命周期支持支持航空航天,国防,汽车和工业计算等行业提供支持,减少发展风险并加速标准驱动的任务关键环境中认证。角色概述 本职能在基于 Vulkan SC 驱动器构建高性能 GPGPU 和 AI 推断库的设计,开发和优化方面提供技术领导力。该职位侧重于在嵌入式 GPU 平台上提供有效,可扩展的计算解决方案,包括 Arm Mali 和 Intel 架构,同时确保强大的性能和可靠性。
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Job Title: Sr. Embedded & Compute Software Developer
Location: Remote – US
Compensation:$130,000 - $160,000 USD + Bonus Eligible
Who we are: Lynx delivers modular, open standards–based software that transforms how high-assurance, mission-critical edge systems are built, deployed, and maintained. Our secure edge computing solutions enable innovation and operational excellence in the world’s most demanding environments, from aerospace and defense to commercial and industrial systems. We partner across industries including automotive, medical, and critical infrastructure to deliver tailored solutions aligned with each customer’s mission and operational requirements. Our key products and services are:
- MOSA.ic: LYNX MOSA.ic™ is a modular software framework and architecture purpose-built for mission-critical edge computing. Based on the Modular Open Systems Approach (MOSA), it provides a flexible foundation for building secure, scalable, and certifiable edge systems.
- LYNX MOSA.ic.AI: LYNX MOSA.ic.AI is a unified CPU and GPU software platform that enables deterministic, certifiable deployment of AI and advanced workloads in mission-critical edge systems. It brings control, performance, and lifecycle governance together, allowing AI to operate predictably within safety-critical environments without compromising certification or system integrity.
- CoreSuite 2.0: CoreSuite 2.0 is Lynx’s safety-critical GPU for graphics enablement framework designed for mission-critical edge computing systems. It provides hardware-accelerated graphics, visualization, and video processing capabilities that can be certified for high-assurance systems.
- Services: Lynx Services is Lynx’s professional services organization that helps customers design, integrate, certify, deploy, and maintain safety- and security-critical systems. It supports industries like aerospace, defense, automotive, and industrial computing through consulting, engineering, integration, and lifecycle support, reducing development risk and accelerating certification in standards-driven, mission-critical environment.
Role Overview
This role provides technical leadership in the design, development, and optimization of high-performance GPGPU and AI inference libraries built on top of Vulkan SC drivers. The position focuses on delivering efficient, scalable compute solutions across embedded GPU platforms, including Arm Mali and Intel architectures, while ensuring robust performance and reliability.
Key responsibilities include driving end-to-end library development, from architecture and implementation to optimization and certification, while maintaining AI model testing infrastructure and defining validation standards. The role also leads platform porting and release efforts for new hardware targets and customer deployments, providing ongoing post-delivery support.
In addition to hands-on engineering, this position plays a critical role in cross-functional collaboration: producing clear technical documentation for diverse stakeholders, contributing to competitive market analysis with product management, and supporting continuous improvement of Vulkan SC drivers through debugging and issue resolution.
The role also emphasizes team growth and innovation, including mentoring engineers, onboarding new team members, and exploring emerging AI compute capabilities and use cases to expand the impact of the software stack.
Key Responsibilities
- Design and implement GPGPU and AI inference libraries on top of our Vulkan SC drivers, with a focus on correctness and performance
- Optimize AI inference across the embedded GPU platforms we support
- Lead porting and release efforts to new platforms and customers, including post-delivery support
- Maintain AI model testing infrastructure and define certification requirements for compute libraries
- Explore and demonstrate new capabilities and use cases for the compute library portfolio
- Partner with product management on competitive analysis of AI software offerings
- Produce documentation that enables knowledge transfer to customers, product management, marketing, and engineering leadership
- Onboard and mentor new team members
- Collaborate with Product Management, Product Architecture, and Product Development teams to translate Product Level Requirements into architectural-level decisions.
Qualifications Required
·Bachelor's degree in engineering (Computer, Software, Electrical), Computer Science or related field
·5+ years of experience in C/C++ software development
·Experience with developing, debugging, and troubleshooting embedded software development
·Experience with ML frameworks such as PyTorch, ONNX, TensorFlow
Preferred:
·Experience with GPU programming APIs: Vulkan, OpenGL, OpenCL, CUDA
·Experience with embedded real-time safety-critical operating systems (preferably Lynx, Deos, VxWorks)
·Experience with DO-178 or ISO26262 software development processes
Sound Exciting? Get in touch today! We have very robust benefits including:
- Low-cost Medical / Dental / Vision coverage options
- 401K with generous employer match
- Responsible Paid Time Off + Paid Holidays
- Remote work opportunities based on role
- Employee Assistance Program (EAP)
- Career growth and professional development opportunities
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Originally posted on Himalayas